AI’s Role in Nonprofits
Artificial intelligence (AI) is increasingly being integrated into the nonprofit sector. More than half of nonprofits are utilizing AI in some form, according to a report by the Center for Effective Philanthropy. However, less than 10% have established policies to govern its use.
The absence of regulations can lead to significant risks, including algorithmic bias and privacy violations. Many nonprofits, especially those unable to afford customized AI systems, may rely on mainstream platforms, which can expose them to additional hazards.
Why AI Policies Matter
Developing AI policies allows nonprofits to navigate these challenges effectively and utilize AI to enhance their missions, ethically.
Addie Achan, director of AI programs at Fast Forward, emphasized, ‘AI is changing how we interact with the world…it’s better for organizations to define the rules around that use rather than have employees inadvertently cause more harm.’
Fast Forward, dedicated to supporting tech nonprofits, has launched a Nonprofit AI Policy Builder. This free tool enables organizations to create their own AI policies tailored to their specific functions.
Fostering Dialogue and Responsibility
The policy builder engages users by asking about their organization and mission. It helps generate custom policies through a guided, conversational process.
Kevin Barenblat, co-founder of Fast Forward, noted, ‘It’s a helpful tool for organizations to start a conversation about how to engage with technology.’ This emphasis on dialogue is particularly vital as nonprofits seek to integrate AI responsibly.
Expanding AI’s Utility in Nonprofits
Currently, many nonprofits use AI for financial and administrative tasks. However, a few are pioneering more significant applications of AI for their missions. For instance, Climate Trace utilizes AI for real-time satellite data on emissions, while Digital Green offers AI assistance to farmers seeking crop advice.
Prioritizing ethical considerations in AI can help nonprofits maximize their social impact, contrasting its often profit-driven use in the private sector.
Conclusion
The integration of AI into the nonprofit landscape requires attention to ethical and legal responsibilities. As Barenblat concluded, ‘We are hopeful that as many organizations as possible will find the right ways to use these tools, ultimately benefiting those who need it most.’
